Cross Paradigm Comparisons

• "No Free Lunch" theorem
• more than comparing individual h's
• randomized algorithms -- average h
• comparing variations on same algorithm
  • GA: popsize, mutation rate,...
  • backprop: num epochs, learning rate,...
• Difficulties (Koza)
  • only on problems solvable by both
  • depends on the problem
  • experimenter's bias